class_docstr: HIGGS Data Set.
docstr: Generate features given the directory path.
  
  Args:
    file_path: path where the csv file is stored
  
  Yields:
    The features, per row.
docstr_tok: ["Generate","features","given","the","directory","path",".","Args",":","file_path",":","path","where","the","csv","file","is","stored","Yields",":","The","features",",","per","row","."]
code: def _generate_examples(self, file_path):
      """Generate features given the directory path.
  
      Args:
        file_path: path where the csv file is stored
  
      Yields:
        The features, per row.
      """
  
      fieldnames = [
          "class_label",
          "lepton_pT",
          "lepton_eta",
          "lepton_phi",
          "missing_energy_magnitude",
          "missing_energy_phi",
          "jet_1_pt",
          "jet_1_eta",
          "jet_1_phi",
          "jet_1_b-tag",
          "jet_2_pt",
          "jet_2_eta",
          "jet_2_phi",
          "jet_2_b-tag",
          "jet_3_pt",
          "jet_3_eta",
          "jet_3_phi",
          "jet_3_b-tag",
          "jet_4_pt",
          "jet_4_eta",
          "jet_4_phi",
          "jet_4_b-tag",
          "m_jj",
          "m_jjj",
          "m_lv",
          "m_jlv",
          "m_bb",
          "m_wbb",
          "m_wwbb",
      ]
  
      with epath.Path(file_path).open() as csvfile:
          reader = csv.DictReader(csvfile, fieldnames=fieldnames)
          for i, row in enumerate(reader):
              yield i, row
  
file_path: datasets/tensorflow_datasets/structured/higgs.py
imports: from __future__ import annotations
  import csv
  from etils import epath
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 3 for calling the Higgs obj's underlying member method code with example usage: obj._generate_examples(file_path) without return types